RANDOM NUMBER GENERATION USING K-VECTOR Conference Paper uri icon

abstract

  • This work focuses on random number generation with any prescribed nonlinear distribution using the k-vector methodology. Two approaches are introduced. The first is based on inverse transform sampling using an optimal k-vector to generate the numbers by the inversion of the cumulative distribution. The second generates samples using random searching in a pre-generated large database built by massive inversion of the prescribed nonlinear distribution using the kvector.

author list (cited authors)

  • Arnas, D., & Mortari, D.

publication date

  • January 2017